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The Top 100 Articles in the Medical Informatics: a Bibliometric Analysis
Urmia University of Medical Science, Iran.
Urmia University of Medical Science, Iran.
Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Health and Developmental Care, Center for Public Health.ORCID iD: 0000-0001-6049-5402
Iran University of Medical Science, Iran.
2017 (English)In: Journal of medical systems, ISSN 0148-5598, E-ISSN 1573-689X, Vol. 41, no 10, 150Article in journal (Refereed) Published
Abstract [en]

The number of citations that a research paper receives can be used as a measure of its scientific impact. The objective of this study was to identify and to examine the characteristics of top 100 cited articles in the field of Medical Informatics based on data acquired from the Thomson Reuters Web of Science (WOS) in October, 2016. The data was collected using two procedures: first we included articles published in the 24 journals listed in the "Medical Informatics" category; second, we retrieved articles using the key words: "informatics", "medical informatics", "biomedical informatics", "clinical informatics" and "health informatics". After removing duplicate records, articles were ranked by the number of citations they received. When the 100 top cited articles had been identified, we collected the following information for each record: all WOS database citations, year of publication, journal, author names, authors affiliation, country of origin and topics indexed for each record. Citations for the top 100 articles ranged from 346 to 7875, and citations per year ranged from 11.12 to 525. The majority of articles were published in the 2000s (n=43) and 1990s (n=38). Articles were published across 10 journals, most commonly Statistics in medicine (n=71) and Medical decision making (n=28). The articles had an average of 2.47 authors. Statistics and biostatistics modeling was the most common topic (n=71), followed by artificial intelligence (n=12), and medical errors (n=3), other topics included data mining, diagnosis, bioinformatics, information retrieval, and medical imaging. Our bibliometric analysis illustrated a historical perspective on the progress of scientific research on Medical Informatics. Moreover, the findings of the current study provide an insight on the frequency of citations for top cited articles published in Medical Informatics as well as quality of the works, journals, and the trends steering Medical Informatics.

Place, publisher, year, edition, pages
SPRINGER , 2017. Vol. 41, no 10, 150
Keyword [en]
Medical informatics; Articles; Bibliometric; Top-cited
National Category
Biomedical Laboratory Science/Technology
Identifiers
URN: urn:nbn:se:liu:diva-142160DOI: 10.1007/s10916-017-0794-4ISI: 000412542500004PubMedID: 28825158OAI: oai:DiVA.org:liu-142160DiVA: diva2:1151682
Available from: 2017-10-24 Created: 2017-10-24 Last updated: 2017-10-24

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